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基于QM算术编码器改进的静态图像压缩算法

Analysis of Static Image Compression Algorithm Based on the Improvement of QM Arithmetic Encoder
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摘要 传统的图像压缩(SPIHT)算法有较高的压缩码率,但生成的码流仍需要再次编码,实际使用中需要通过一个自适应的算术编码器才能生成最终的码流,以消除二进制码流中的冗余,得到更高的编码效率。QM算术编码器是一种简单和快速的高效算术编码器,它使用定点算法,限制输入符号是单一的,用近似来代替乘法。结果表明,采用QM算术编码器得到的编码码流压缩效率更高,能适应自适应编码和高压缩比的需求。 Conventional video compression algorithms have higher compressibility, but the output code stream still needs recoding. A selfadapting arithmetic encoder was required in practical application to produce a final code stream, which can eliminate redundancy in binary code stream to obtain higher encode efficiency. QM arithmetic encoder is a high efficiency encoder designed for the simplicity and speed. It restricts the input symbol within single bit. Approximation was used to replace multiplication. The integer operation with fixed - point precision was used as well. The experiments indicate that adopting QM arithmetic encoder can obtain higher efficient encoding code stream and meet the selfadapting encoding compression requirement.
作者 田汉梅 田劲
出处 《武汉理工大学学报(信息与管理工程版)》 CAS 2009年第4期545-547,550,共4页 Journal of Wuhan University of Technology:Information & Management Engineering
关键词 QM算术编码器 静态图像压缩算法 编码效率 QM arithmetic encoder static image compression algorithm encode efficiency
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